At Machine Learning Reply Austria, we strive to work on leading-edge technology projects with our clients. To strengthen our team, we are looking for a Forward Deployed Databricks Engineer with a strong technical background and a passion for building impactful data and AI solutions directly with customers.

Machine Learning Reply, with its sister companies in Italy and Germany and over 15000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Web Development, Cloud technologies, Data Platforms and the right organisational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready solutions.

We have a vast expertise in every step of the product implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimise already existing processes and products while simultaneously adapting to cloud technologies

Tasks

You are responsible for delivering customised end-to-end data platform and analytics solutions on customer projects, with a strong focus on Databricks-based implementations across the full project lifecycle.

Work closely with customers to understand technical and business challenges, identify solution opportunities and translate requirements into scalable platform architectures.

Design, build and optimise data pipelines, lakehouse architectures, data models and engineering workflows on Databricks.

Implement and deploy robust solutions for data ingestion, transformation, orchestration, governance and analytics in production environments.

Collaborate directly with customer stakeholders, acting as a bridge between business needs, platform strategy and technical delivery.

Support customers hands-on in adopting best practices around Data Engineering, DataOps, CI/CD, cloud architecture and platform enablement.

Work in agile environments and contribute to the continuous improvement of delivery methods, accelerators and reusable assets.

Stay up to date with the latest developments in Databricks, cloud ecosystems and modern data architectures, and work together with market-leading technology partners.

What we offer you

We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience.

Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)

Very active group social program - including conference funding, team building, group events, Reply Exchange

Recognition for Innovation to foster your personal development

Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)

Office space in Icon Vienna with access to Stammstrecke

Training and certification encouraged

Home-office contracts

State-of-the-art work equipment

Award winning office spaces for an excellent work experience

Public transport ticket within Vienna

Gym-membership subsidy for a gym of your choice

Flexible work environment between client, Reply office and remote work

Requirements

Qualifications

Completed studies in computer science, mathematics, physics, engineering or a comparable field

Solid experience with Python, SQL, and optionally Java, Rust or similar

Strong hands-on experience in data engineering, building and operating scalable data pipelines and distributed data processing workloads

Experience with Databricks, or strong experience with comparable modern data platforms and a willingness to deepen expertise in the Databricks ecosystem

Good understanding of lakehouse architecture, data modelling, batch and streaming pipelines, orchestration and platform operations

Knowledge of cloud services from AWS, Azure or GCP, ideally in the context of modern data platform deployments

Experience with software engineering best practices, including version control, CI/CD, testing, modular development and automation

Ability to prioritise customer needs and create technical solutions that generate measurable business value

Experience with agile development concepts like Scrum

Strong communication skills and confidence in working directly with customer stakeholders in delivery-oriented environments

Excellent German skills, good English skills, and willingness to travel if required by the project

What are you waiting for?

Join our team at Machine Learning Reply as a Forward Deployed Databricks Engineer!